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    • Prediction and Design of Composition-hardness Relationship for 6061 Aluminum Alloy Based on Machine Learning

    • In the field of high-strength aluminum alloy composition design, researchers have constructed a machine learning model for predicting the hardness of aluminum alloys based on 154 sets of sample data, revealing the complex synergistic effects between alloy elements and providing a new method for the initial screening and prediction of mechanical properties of aluminum alloys.
    • Vol. 45, Issue 8, Pages: 1136-1147(2025)   

      Received:21 February 2025

      Revised:19 May 2025

      Accepted:19 May 2025

      Published:20 August 2025

    • DOI: 10.15980/j.tzzz.Z20250006     

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  • LIU Y,YU T X,LI Z Y,et al. Prediction and design of composition-hardness relationship for 6061 aluminum alloy based on machine learning[J]. Special Casting & Nonferrous Alloys,2025,45(8):1 136-1 147. DOI: 10.15980/j.tzzz.Z20250006.
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相关作者

WANG Xingchen 上海交通大学材料科学与工程学院,轻合金精密成型国家工程研究中心
YUAN Lingyang 上海交通大学材料科学与工程学院,轻合金精密成型国家工程研究中心
WANG Xin 上海交通大学材料科学与工程学院,轻合金精密成型国家工程研究中心
PENG Liming 上海交通大学材料科学与工程学院,轻合金精密成型国家工程研究中心
Hao Yongzhi 华南理工大学国家金属材料近净成形工程技术研究中心
Zhao Haidong 华南理工大学国家金属材料近净成形工程技术研究中心
Lin Jiahua 华南理工大学国家金属材料近净成形工程技术研究中心
GAO Jun 上海大学材料基因组工程研究院

相关机构

National Engineering Research Center of Light Alloy Net Forming, School of Materials Science and Engineering, Shanghai Jiaotong University
National Engineering Research Center of Near-Net-Shape Forming for Metallic Materials,South China University of Technology
Shanghai Technical Institute of Electronics & Information
Central Iron & Steel Research Institute
Gaona Aero Material Co., Ltd.
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